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sathishreddymanne/README.md

🧬 About Me

I'm a final-year B.Tech AI & ML student and ML Research Intern @ IIT Hyderabad, based in Tiruvallur, Tamil Nadu.

I build end-to-end intelligent systems β€” from data preprocessing and model selection to deploying retrieval-augmented, LLM-powered applications. I believe in learning by building and shipping things that work outside a notebook.


πŸ”— Connect With Me



πŸš€ Current Focus

πŸ”¨ Working On Β Β·Β  PEC AI Assistant (RAG Chatbot)

πŸ“š Learning Β Β·Β  Machine Learning Β· LLMs Β· RAG

🀝 Collaborating On  ·  Open Source AI Projects

🧩 Need Help With  ·  Production AI Systems

πŸ’¬ Ask Me About Β Β·Β  Python Β· Machine Learning Β· Deep Learning Β· Data Science Β· Generative AI Β· LLMs Β· RAG Β· NLP Β· Computer Vision



πŸ› οΈ Tech Stack

Languages

Data Science

Seaborn

Machine Learning

Generative AI

LangChain FAISS HuggingFace Sentence Transformers LLMs RAG

Development Tools

Jupyter Google Colab



🧠 Featured Projects


πŸ€–Β  PEC AI Assistant (RAG Chatbot)

A retrieval-augmented college chatbot for Prathyusha Engineering College β€” LangChain orchestration, Hugging Face embeddings, and a FAISS vector store served through a live interface.

LangChain FAISS HuggingFace RAG Python



🏠  House Price Prediction

An end-to-end regression pipeline β€” preprocessing, feature engineering, and multi-model comparison β€” built to reflect real deployment-grade ML practice.

Python Scikit-learn Pandas



πŸ“‰Β  Customer Churn Prediction

Benchmarked multiple classification models to predict customer churn, with rigorous feature engineering and evaluation metrics to select the strongest performer.

Scikit-learn Feature Engineering Python



🌸  Iris Flower Classification

A classic classification task reimagined with Principal Component Analysis for dimensionality reduction before model training.

PCA Scikit-learn Python



πŸ“ŠΒ  Machine Learning Algorithms

A growing collection of core ML algorithm implementations β€” PCA, Decision Trees, Random Forest, KNN, and Logistic Regression β€” built to internalize the math, not just call .fit().

PCA Decision Trees Random Forest KNN Logistic Regression



πŸ“ˆ GitHub Analytics




πŸ† GitHub Trophies



πŸ“… Contribution Graph


🐍 Contribution Snake



"I don't just train models β€” I build systems that think, retrieve, and respond."


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